Search (23 results, page 1 of 2)

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Source

Subject retrieval in a networked environment: Proceedings of the IFLA Satellite Meeting held in Dublin, OH, 14-16 August 2001 and sponsored by the IFLA Classification and Indexing Section, the IFLA Information Technology Section and OCLC. Ed.: I.C. McIlwaine

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Abstract

Reports results of a study, conducted by Maryland University, College of Library and Information Services, to establish the basic logical design of large scale bibliographic databases using the entity relationship (ER) model, with a view to the eventual conversion of the ER based conceptual schemas into relational databases. A fully normalized relational bibliographic database promises relief from the update, insertion, and deletion anomalies that plague bibliographic databases using MARC formats and USMARC formats internally. Presents the conceptual design of a full scale bibliographic database (inclusing bibliographic, authority, holdings, and classification data), based on entity relationship modelling. This design translates easily into a logical relational design. Discusses the treatment of format integration and the differentiation between the intellectual and bibliographic levels of description and between collective and individual levels of description. Unfortunately, the complexities of bibliographic data result in a tension between the semantic integrity of the relatioal approach and the inefficiencies of normalization and decomposition. Outlines compromise approaches to the dilemma

Source

Information technology and libraries. 15(1996) no.4, S.207-221

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Abstract

This study establishes 3 predominant cognitive models of information and the information transfer process manifest in the literature of library and information science, based on a linguistic analysis of phrases incoporating the word 'information' from a random sample of abstracts in the LISA database. The direct communication (DC) and indirect communication (IC) models (drawn from Reddy's frameworks of metalinguistic usage) adopt the perspective of the information system; the information-seeking (IS) model takes the viewpoint of the information user. 2 disturbing findings are presented: 1. core elements of the DC and IC models are more weakly supported by the data than are most of the peripheral elements; and 2. even though the IS model presents the information user's perspective, the data emphasise the role of the information system. These findings suggest respectively that the field lacks a coherent model of information transfer per se and that our model of information retrieval is mechanistic, oblivious to the cognitive models of end users

Footnote

Enthält eine umfangreiche Liste von Redewendungen mit 'Information'

Theme

Information

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Abstract

Because procedures for establishing facets tend toward subjectivity, this pilot project investigates whether the facet structure of a subject literature can be discerned automatically on the basis of its own metadata. Nouns found in the titles of works retrieved from the WorldCat bibliographic database based on Dewey number are mapped against the nodes of the WordNet noun network. Density measures are computed for these nodes to identify nodes best summarizing the title noun data / best corresponding to facets of the subject. Results of the work to date are promising enough to warrant further investigation.

Source

Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik

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Abstract

The structure of a classification system contributes in a variety of ways to representing semantic relationships between its topics in the context of subject authority control. We explore this claim using the Dewey Decimal Classification (DDC) system as a case study. The DDC links its classes into a notational hierarchy, supplemented by a network of relationships between topics, expressed in class descriptions and in the Relative Index (RI). Topics/subjects are expressed both by the natural language text of the caption and notes (including Manual notes) in a class description and by the controlled vocabulary of the RI's alphabetic index, which shows where topics are treated in the classificatory structure. The expression of relationships between topics depends on paradigmatic and syntagmatic relationships between natural language terms in captions, notes, and RI terms; on the meaning of specific note types; and on references recorded between RI terms. The specific means used in the DDC for capturing hierarchical (including disciplinary), equivalence and associative relationships are surveyed.

Date

8.11.2015 21:27:22

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Abstract

The assumption of topic matching between user needs and texts topically relevant to those needs is often erroneous. Reports an emprical investigantion of the question 'what relationship types actually account for topical relevance'? In order to avoid the bias to topic matching search strategies, user needs are back generated from a randomly selected subset of the subject headings employed in a user oriented topical concordance. The corresponding relevant texts are those indicated in the concordance under the subject heading. Compares the topics of the user needs with the topics of the relevant texts to determine the relationships between them. Topical relevance relationships include a large variety of relationships, only some of which are matching relationships. Others are examples of paradigmatic or syntagmatic relationships. There appear to be no constraints on the kinds of relationships that can function as topical relevance relationships. They are distinguishable from other types of relationships only on functional grounds

Source

Journal of the American Society for Information Science. 46(1995) no.9, S.654-662

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Abstract

This paper investigates the semantics of topical, associative see-also relationships in schedule and table entries of the Dewey Decimal Classification (DDC) system. Based on the see-also relationships in a random sample of 100 classes containing one or more of these relationships, a semi-structured inventory of sources of see-also relationships is generated, of which the most important are lexical similarity, complementarity, facet difference, and relational configuration difference. The premise that see-also relationships based on lexical similarity may be language-specific is briefly examined. The paper concludes with recommendations on the continued use of see-also relationships in the DDC.

Content

Papers from the Third North American Symposium on Knowledge Organization, June 16-17, Toronto, Canada.

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Source

Classification research for knowledge representation and organization. Proc. 5th Int. Study Conf. on Classification Research, Toronto, Canada, 24.-28.6.1991. Ed. by N.J. Williamson u. M. Hudon

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Abstract

The frame structure matches the profile of features desirable in a syntagmatic relationship system and should be incorporated as the basic structural unit in index languages. The construction of frame-based index languages is discussed. Selected findings based on the case study analysis of implementing a New Testament-oriented frame-based indexing language are presented

Source

Classification research for knowledge representation and organization. Proc. 5th Int. Study Conf. on Classification Research, Toronto, Canada, 24.-28.6.1991. Ed. by N.J. Williamson u. M. Hudon

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Abstract

WordNet, a lexical database for English, is organized around semantic and lexical relationships between synsets, concepts represented by sets of synonymous word senses. Offering reasonably comprehensive coverage of the nouns, verbs, adjectives, and adverbs of general English, WordNet is a widely used resource for dealing with the ambiguity that arises from homonymy, polysemy, and synonymy. WordNet is used in many information-related tasks and applications (e.g., word sense disambiguation, semantic similarity, lexical chaining, alignment of parallel corpora, text segmentation, sentiment and subjectivity analysis, text classification, information retrieval, text summarization, question answering, information extraction, and machine translation).

Source

Encyclopedia of library and information sciences. 3rd ed. Ed.: M.J. Bates

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Abstract

Claims of bias within the Dewey Decimal Classification (DDC) system in its treatment of indigenous peoples in the U.S. focus on marginalization through ghettoization, historicization, diasporization, and missing topics, such as the status of indigenous peoples as sovereign nations. Investigation into the treatment of indigenous peoples in the U.S. from DDC 16 to DDC 23 reveals that two of the most central concerns, ghettoization and historicization, are not borne out. Diasporization turns out to be a legitimate, but resolvable, concern. The current failure to recognize indigenous peoples as sovereign nations leads to a proposal for a series of expansions in Table 2 for the geographic areas over which indigenous peoples are sovereign; a mismatch between organization by the DDC and by indigenous peoples in the U.S. leads to the supplying of a Manual note table going from names of tribes (a Table 5 concept) to sovereign nations (a Table 2 concept).

Content

Papers from the Fifth North American Symposium on Knowledge Organization (NASKO 2015), sponsored by ISKO-Canada/US, June 18-19, 2015, Los Angeles, California. Vgl.: http://www.ergon-verlag.de/isko_ko/downloads/ko_42_2015_4.pdf.

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Abstract

The expression of conceptual syntagmatic relationships in document retrieval systems holds out hope for both increased discrimination generally and increased recall in certain contexts. Such relationships require both a structured inventory of relationships. Examines the means of expressing these. The expression of conceptual syntagmatic relationships must comply with criteria of systematicity, complexity, efficiency and naturalness. Unfortunately, the complex interaction of natural language expression based on lexicalization, word order, function words, and morphosyntactic cases causes failure regarding systematicity. Most methods of expressing conceptual syntagmatic relationships, e.g. term co occurrence techniques, links and role indicators, fail to comply with this and other of the criteria. Only gestalt structures simultaneously representing relationships, participants and roles conform fully to the critical checklist

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Abstract

Relevance arises from relationships between user needs and documents/information. In the quest for relevant retrieval, some content-based relationships are best used initially to cast a net that emphasizes recall, while others, both content- and non-content-based, are best used subsequently as filtering devices to achieve better precision. Topical relevance, the primary factor in the initial retrieval operation, extends far beyond topic matching, as often assumed. Empirical studies demonstrate that topical relevance relationships are drawn from a broad but systematic inventory of semantic relationships.

Series

Information science and knowledge management; vol.2

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Abstract

Semantic types provide a level of abstraction over particulars with shared behavior, such as in the participant structure of semantic frames. The paper presents a preliminary investigation, drawing on data from WordNet and FrameNet, into the relationship between hierarchical level and the semantic types that name frame elements (a.k.a. slots). Patterns discovered include: (1) The level of abstraction of a frame is generally matched by the level of abstraction of its frame elements. (2) The roles played by persons tend to be expressed very specifically. (3) Frame elements that mirror the name of the frame tend to be expressed specifically. (4) Some frame participants tend to be expressed at a constant (general) level of abstraction, regardless of the level of abstraction of the overall frame.

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Source

Knowledge organization, information systems and other essays: Professor A. Neelameghan Festschrift. Ed. by K.S. Raghavan and K.N. Prasad

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Series

Information science and knowledge management; vol.3

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Source

Knowledge organization and the global information society: Proceedings of the 8th International ISKO Conference 13-16 July 2004, London, UK. Ed.: I.C. McIlwaine

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Content

Beitrag in einem Special Issue: Selected Papers from the International UDC Seminar 2017, Faceted Classification Today: Theory, Technology and End Users, 14-15 September, London UK.

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Abstract

Effective use of syntagmatic relationships in index languages has suffered from inaccurate or incomplete characterization in both linguistics and information science. A number of 'myths' about syntagmatic relationships are debunked: the exclusivity of paradigmatic and syntagmatic relationships, linearity as a defining characteristic of syntagmatic relationships, the restriction of syntagmatic relationships to surface linguistic units, the limitation of syntagmatic relationship benefits in document retrieval to precision, and the general irrelevance of syntagmatic relationships for document retrieval. None of the mechanisms currently used with index languages is powerful enough to achieve the levels of precision and recall that the expression of conceptual syntagmatic relationships is in theory capable of. New designs for expressing these relationships in index languages will need to take into account such characteristics as their semantic nature, systematicity, generalizability and constituent nature

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Series

Information science and knowledge management; vol.2